Parallel Text Alignment

Parallel Text Alignment is the systematic computational process of identifying and linking corresponding segments, such as sentences or phrases, between two or more translated versions of the same source text within a parallel corpus, enabling comparative linguistic analysis and facilitating applications in machine translation and bilingual lexicon extraction.

232

Publications

13.5K

Citations

487

Authors

172

Institutions

Publications per year

2017–2026

31

Variants

Bitext Alignment

Authors

487

  1. JT
    Jörg Tiedemann

    Uppsala University, Sweden

    10 publications · 533 citations

    10

    h-index

  2. MV
    Martin Volk

    University of Zurich, Switzerland

    8 publications · 267 citations

    8

    h-index

  3. KC
    Kenneth Church

    AT&T (United States), United States

    6 publications · 1.7K citations

    6

    h-index

  4. DW
    Dekai Wu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    6 publications · 451 citations

    6

    h-index

  5. MM
    Magnus Merkel

    Linköping University, Sweden

    6 publications · 218 citations

    6

    h-index

1–5 of 487

Venues

  1. Zurich Open Repository and Archive (University of Zurich)

    Repository · 8 publications · 267 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 160 citations

    5

    h-index

  3. Natural Language Engineering

    4 publications · 91 citations

    4

    h-index

  4. ArXiv.org

    Repository · 3 publications · 91 citations

    3

    h-index

  5. International Conference on Computational Linguistics

    Conference · 3 publications · 45 citations

    3

    h-index

1–5